iPhone XR
Geekbench ML Score
510
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 28 2021 09:11 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0 |
| Model | iPhone XR |
| Model ID | iPhone11,8 |
| Motherboard | N841AP |
| CPU Information | |
|---|---|
| Name | Apple A12 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.49 GHz |
| L1 Instruction Cache | 48.0 KB x 1 |
| L1 Data Cache | 32.0 KB x 1 |
| L2 Cache | 2.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 2.77 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
472
50.5 IPS |
|
|
Image Classification (F16)
|
100% |
457
49.0 IPS |
|
|
Image Classification (I8)
|
81% |
285
30.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
723
4.47 IPS |
|
|
Image Segmentation (F16)
|
100% |
431
2.66 IPS |
|
|
Image Segmentation (I8)
|
89% |
813
5.02 IPS |
|
|
Pose Estimation (F32)
|
100% |
159
0.64 IPS |
|
|
Pose Estimation (F16)
|
100% |
150
0.61 IPS |
|
|
Pose Estimation (I8)
|
80% |
226
0.92 IPS |
|
|
Object Detection (F32)
|
100% |
646
22.7 IPS |
|
|
Object Detection (F16)
|
100% |
657
23.1 IPS |
|
|
Object Detection (I8)
|
52% |
517
18.2 IPS |
|
|
Face Detection (F32)
|
100% |
695
7.99 IPS |
|
|
Face Detection (F16)
|
100% |
686
7.89 IPS |
|
|
Face Detection (I8)
|
75% |
551
6.33 IPS |
|
|
Text Classification (F32)
|
100% |
781
309.1 IPS |
|
|
Text Classification (F16)
|
100% |
783
309.7 IPS |
|
|
Machine Translation (F32)
|
100% |
968
149.2 IPS |
|
|
Machine Translation (F16)
|
100% |
985
151.7 IPS |
